DCGAN model used to generate body gestures on a human-humanoid interaction system

González, Francisco J. (Universidad Autónoma de Occidente, Cali, Colombia) ; Perez-Uribe, Andres (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Satizábal, Hector F. (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; López, Jesús A. (Universidad Autónoma de Occidente, Cali, Colombia)

The current availability of the humanoid robots opens up a wide range of applications, for instance, in the domain of hospitality the humanoids can be programmed to behave autonomous ways to provide help to people. The aspect of the humanoids and the humanness of interaction are key components of success. We developed a system to endow the humanoid robot Pepper, from SoftBank Robotics, with the capability of both: identify the emotion state of the humans and exhibiting emotional states via gestures and postures generated using a DCGAN model to learn from the human body language and to create originals body expressions to exhibit like-human movements.


Keywords:
Conference Type:
full paper
Faculty:
Ingénierie et Architecture
School:
HEIG-VD
Institute:
IICT - Institut des Technologies de l'Information et de la Communication
Publisher:
Barranquilla, Colombia, 5-7 June 2019
Date:
2019-12
Barranquilla, Colombia
5-7 June 2019
Pagination:
13 p.
Published in:
Applications of Computational Intelligence Second IEEE Colombian Conference, ColCACI 2019, 5-7 June 2019, Barranquilla, Colombia
Numeration (vol. no.):
pp. 103-115
Series Statement:
Communications in Computer and Information Science, 1096
DOI:
ISSN:
1865-0929
ISBN:
978-3-030-36210-2
Appears in Collection:



 Record created 2020-05-19, last modified 2020-05-22


Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)